MLOps Engineer

Job description:MLOps Responsibilities:

• Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.

• Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.

• Automate the training, testing and deployment processes for machine learning models.

• Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability.

• Implement best practices for version control, model reproducibility and governance.

• Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.

• Troubleshoot and resolve issues related to model deployment and performance.

• Ensure compliance with security and data privacy standards in all MLOps activities.

• Keep up to date with the latest MLOps tools, technologies and trends.

• Provide support and guidance to other team members on MLOps practices.

Required skills and experience:

• 3 - 10 years of experience in MLOps, DevOps or a related field.

• Bachelor's degree in computer science, Data Science or a related field.

• Strong understanding of machine learning principles and model lifecycle management.

• Experience in Jenkins pipeline development.

• Experience in automation scripting.